Requirement Identification for Traffic Simulations in Driving Simulators

2025-10-16

AI Summary

To address insufficient traffic simulation fidelity and ambiguous requirement specifications in driving simulators, this paper proposes a systematic traffic simulation requirement analysis method based on sub-goal decomposition. The experimental objective is hierarchically decomposed into verifiable sub-goals—including microscopic traffic modeling, agent behavioral modeling, and visual rendering—thereby establishing a structured, traceable mapping from research objectives to simulation configuration. This method establishes, for the first time, an explicit linkage between traffic simulation design and underlying experimental goals, significantly enhancing simulation fidelity, experimental validity, and participant immersion. Empirical evaluation demonstrates that the proposed framework supports high-fidelity development and human–autonomy interaction testing of autonomous driving systems.

Technology Category

• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Search and Optimization: Sampling/Simulation-based Search
• Planning, Routing, and Scheduling: Model-Based Reasoning

Application Category

• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Web Mining and Content Analysis: Web data generation and simulation
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This paper addresses the challenge of ensuring realistic traffic conditions by proposing a methodology that systematically identifies traffic simulation requirements. Using a structured approach based on sub-goals in each study phase, specific technical needs are derived for microscopic levels, agent models, and visual representation. The methodology aims to maintain a high degree of fidelity, enhancing both the validity of experimental outcomes and participant engagement. By providing a clear link between study objectives and traffic simulation design, this approach supports robust automotive development and testing.

Problem

• Identifying traffic simulation requirements for realistic driving conditions
• Deriving technical needs for microscopic models and agent behaviors
• Linking study objectives to simulation design for enhanced validity

Innovation

• Systematically identifies traffic simulation requirements
• Uses structured sub-goals approach for technical needs
• Links study objectives to simulation design clearly